Computer Analysis of Images and Patterns: 12th International Conference, CAIP 2007, Vienna, Austria, August 27-29, 2007. Proceedings

Cover......Page p0001.djvu
Lecture Notes in Computer Science 4673......Page p0002.djvu
Computer Analysis of Images and Patterns......Page p0003.djvu
Preface......Page p0005.djvu
CAIP 2007 Organization......Page p0007.djvu
Table of Contents......Page p0010.djvu
Computer vs. Human Vision......Page p0020.djvu
Nature of Perceptual Representation of 3D Shapes......Page p0021.djvu
Role of Learning......Page p0022.djvu
Invariants......Page p0023.djvu
Surfaces and Depth Cues......Page p0024.djvu
Shape Parts......Page p0025.djvu
A Priori Constraints......Page p0026.djvu
A New Theory of 3D Shape Reconstruction......Page p0027.djvu
References......Page p0029.djvu
Introduction......Page p0032.djvu
Connection Geometry in the Plane......Page p0033.djvu
Oriented) Textures and Co-helicity......Page p0034.djvu
Stereo......Page p0036.djvu
References......Page p0038.djvu
Introduction......Page p0039.djvu
Line Model Generation......Page p0040.djvu
Edge Map Generation Using Laplacian Filtering of the z-buffer......Page p0041.djvu
Edge Map Generation Using the Frame Buffer......Page p0042.djvu
Experimental Results......Page p0043.djvu
Conclusion......Page p0045.djvu
References......Page p0046.djvu
Introduction......Page p0047.djvu
Background Subtraction Using MGM......Page p0048.djvu
Background Subtraction Using SMM......Page p0049.djvu
Spatial Image Segmentation......Page p0050.djvu
Combining SMM with Spatial Image Segmentation......Page p0051.djvu
Experimental Results......Page p0052.djvu
References......Page p0054.djvu
Introduction......Page p0055.djvu
Detection of Spiral Grain in CT Cross-Section Images......Page p0056.djvu
Results......Page p0057.djvu
References......Page p0062.djvu
Introduction......Page p0064.djvu
Image-Data Reduction......Page p0065.djvu
Stochastic Appearance Observation......Page p0066.djvu
Eyelid and Iris Tracking......Page p0067.djvu
Experimental Results......Page p0069.djvu
Conclusions......Page p0070.djvu
References......Page p0071.djvu
Introduction......Page p0072.djvu
Temporal Integration......Page p0073.djvu
Integration of Multiple Spatial Scales......Page p0074.djvu
Results......Page p0075.djvu
Discussion and Conclusion......Page p0078.djvu
References......Page p0079.djvu
Introduction......Page p0080.djvu
Optical Flow Computation ......Page p0081.djvu
Numerical Scheme and Its Stability ......Page p0083.djvu
Numerical Examples ......Page p0085.djvu
Conclusions......Page p0086.djvu
References......Page p0087.djvu
Introduction......Page p0088.djvu
Band Selection......Page p0089.djvu
Extraction of Dominant Elements......Page p0090.djvu
Probability Measurement and Synthesis......Page p0091.djvu
Experiments......Page p0092.djvu
References......Page p0094.djvu
Introduction......Page p0096.djvu
Change-Driven Data Flow Processing......Page p0097.djvu
Original Algorithm......Page p0098.djvu
Change-Driven Data Flow Algorithm......Page p0100.djvu
Experimental Results......Page p0101.djvu
References......Page p0103.djvu
Introduction......Page p0104.djvu
Model......Page p0105.djvu
Observation Model......Page p0106.djvu
Spatiotemporal Constraint......Page p0107.djvu
Parameter and Optimization......Page p0108.djvu
Results......Page p0109.djvu
Conclusion......Page p0110.djvu
References......Page p0111.djvu
Related Work......Page p0112.djvu
Proposed Behavior Representation and Recognition......Page p0113.djvu
Experimental Results......Page p0116.djvu
References......Page p0118.djvu
Introduction......Page p0120.djvu
Our Action Dataset......Page p0122.djvu
Feature Sets......Page p0123.djvu
Quantitative Analysis......Page p0124.djvu
Conclusions......Page p0126.djvu
References......Page p0127.djvu
Introduction......Page p0128.djvu
SfM Under Weak Perspective......Page p0129.djvu
Relative Motion of Two Objects......Page p0130.djvu
Fitting Coaxial Circles to 3D Points......Page p0131.djvu
Experiments on Synthetic Data......Page p0132.djvu
Experiments on Real Data......Page p0133.djvu
References......Page p0134.djvu
Introduction......Page p0136.djvu
DSm Hybrid Model......Page p0137.djvu
Dynamic Frame of Discernment......Page p0138.djvu
Experimental Results......Page p0140.djvu
References......Page p0142.djvu
Introduction......Page p0144.djvu
Related Work......Page p0145.djvu
Image Model......Page p0146.djvu
Approach 2: A Global Transmission Metric......Page p0147.djvu
Implementation......Page p0148.djvu
Simulated Data......Page p0149.djvu
Microscopy Data......Page p0150.djvu
References......Page p0151.djvu
Introduction......Page p0152.djvu
Related Work......Page p0153.djvu
Goal Ontology......Page p0154.djvu
Domain Ontology......Page p0155.djvu
Test Case......Page p0156.djvu
Conclusion......Page p0158.djvu
Introduction ......Page p0160.djvu
Perspective Rectification Using a Vanishing Point ......Page p0161.djvu
3D Reconstruction Using Sub-pixel Precision ......Page p0163.djvu
Mapping Algorithm ......Page p0164.djvu
Experimentation and Results ......Page p0165.djvu
Conclusions ......Page p0166.djvu
References......Page p0167.djvu
Introduction......Page p0168.djvu
Geometry of Circularly Motion Capture System......Page p0169.djvu
Track--Before--Detect Algorithm for Motion Capture Systems......Page p0170.djvu
TBD System Without Optimization (Full Frame Processing)......Page p0171.djvu
TBD System with Separate Optimization......Page p0172.djvu
TBD System with Multiple Camera Optimization......Page p0173.djvu
Comparison Example......Page p0174.djvu
References......Page p0175.djvu
Introduction......Page p0176.djvu
Shape Model......Page p0177.djvu
Motion Model......Page p0178.djvu
Measurement Assimilation and State Update......Page p0179.djvu
Results ......Page p0180.djvu
Conclusion......Page p0182.djvu
References......Page p0183.djvu
Introduction......Page p0184.djvu
Methods......Page p0185.djvu
Correction of Illumination and Intensity Inhomogeneity......Page p0186.djvu
Evaluation......Page p0187.djvu
Conclusion......Page p0189.djvu
References......Page p0190.djvu
Introduction......Page p0192.djvu
Decomposition into -propeller and Stalk......Page p0194.djvu
Extracting the Stalk Curve Representation......Page p0195.djvu
Measurements......Page p0196.djvu
Conclusion......Page p0198.djvu
References......Page p0199.djvu
Introduction......Page p0200.djvu
The Problem......Page p0201.djvu
Compression and Storage......Page p0202.djvu
Register......Page p0204.djvu
Navigation......Page p0205.djvu
Conclusions and Discussion......Page p0206.djvu
References......Page p0207.djvu
Introduction......Page p0208.djvu
Image Database......Page p0209.djvu
Feature Selection......Page p0210.djvu
Experimental Results......Page p0212.djvu
Comparing with a Classification Rate Method......Page p0213.djvu
Summary......Page p0214.djvu
References......Page p0215.djvu
Introduction......Page p0216.djvu
Materials and Methods......Page p0217.djvu
Peak Alignment......Page p0218.djvu
Results......Page p0219.djvu
Discussion......Page p0221.djvu
References......Page p0222.djvu
Introduction......Page p0224.djvu
Pelvis Atlas......Page p0225.djvu
Edge Segment Extraction......Page p0226.djvu
Estimation of Possible Correspondence......Page p0227.djvu
Computation of Optimal Transformations......Page p0228.djvu
Experiment and Discussion......Page p0229.djvu
Conclusion......Page p0230.djvu
References......Page p0231.djvu
Introduction......Page p0232.djvu
Assessment of Cardiac Rigid Motion Compensation......Page p0233.djvu
Phantom Data......Page p0236.djvu
Experimental Data......Page p0237.djvu
Discussion and Conclusions......Page p0238.djvu
References......Page p0239.djvu
Introduction......Page p0240.djvu
Image Segmentation and Feature Extraction......Page p0241.djvu
Nuclei Classification......Page p0243.djvu
Results......Page p0244.djvu
Discussion and Conclusion......Page p0245.djvu
References......Page p0246.djvu
Introduction and State of the Art......Page p0248.djvu
Evaluation Study......Page p0249.djvu
Classic Similarity Measures......Page p0250.djvu
Distance Based Similarity Measures......Page p0251.djvu
Similarity Measures on the Boundaries......Page p0252.djvu
Global Multimodal Similarity Measure......Page p0253.djvu
Discussion and Future Work......Page p0254.djvu
References......Page p0255.djvu
Introduction......Page p0256.djvu
2.2 Adaptive Wavelet Lung Border Highlighting......Page p0257.djvu
3D Morphological Processing......Page p0258.djvu
Results......Page p0259.djvu
Discussion......Page p0261.djvu
References......Page p0262.djvu
Introduction......Page p0264.djvu
Methodology......Page p0265.djvu
Results......Page p0269.djvu
Conclusions and the Future Directions......Page p0270.djvu
References......Page p0271.djvu
Introduction......Page p0272.djvu
Material and Methods......Page p0273.djvu
Method......Page p0274.djvu
Measurements......Page p0275.djvu
Results......Page p0276.djvu
Discussion......Page p0277.djvu
Summary......Page p0278.djvu
References......Page p0279.djvu
Introduction......Page p0280.djvu
Delaunay Triangulation and Meshing......Page p0281.djvu
Isotropic Meshing......Page p0282.djvu
Iterative Adaptation......Page p0283.djvu
Experimental Results......Page p0285.djvu
Conclusion......Page p0286.djvu
References......Page p0287.djvu
Introduction......Page p0289.djvu
Local Impulse Response......Page p0290.djvu
Materials and Methods......Page p0291.djvu
Modified Penalty......Page p0292.djvu
Results and Discussion......Page p0293.djvu
References......Page p0295.djvu
Introduction......Page p0297.djvu
Trabecular Bone Textural Structure Description......Page p0298.djvu
The Fractal Texture Description......Page p0299.djvu
Results......Page p0300.djvu
References......Page p0303.djvu
Introduction......Page p0304.djvu
AdaBoost Procedure......Page p0305.djvu
Stability Criterion of the Selected Features......Page p0306.djvu
Postprocessing and Segmentation of the Lumen......Page p0307.djvu
Results......Page p0308.djvu
References......Page p0310.djvu
Introduction......Page p0312.djvu
Methodology......Page p0313.djvu
Experimental Results......Page p0316.djvu
Conclusions and Future Work......Page p0318.djvu
References......Page p0319.djvu
Introduction......Page p0320.djvu
Unsupervised Classification......Page p0321.djvu
Synthetic Images and Deformations......Page p0322.djvu
Experiment and Results......Page p0324.djvu
References......Page p0326.djvu
Introduction......Page p0328.djvu
Method......Page p0329.djvu
Results......Page p0331.djvu
Conclusion......Page p0333.djvu
References......Page p0334.djvu
Introduction......Page p0336.djvu
Adaboost......Page p0337.djvu
Defining Features for Seed Detection......Page p0338.djvu
Features Used for Voxel Classification......Page p0340.djvu
Hierarchical Detection......Page p0341.djvu
Results and Discussion......Page p0342.djvu
References......Page p0343.djvu
Introduction......Page p0345.djvu
Emotion-Based Interactive Game......Page p0346.djvu
The System Architecture......Page p0347.djvu
The Intensity of Emotion......Page p0348.djvu
Probabilistic-Based Game Control Model......Page p0349.djvu
Testing Improvement of Child\'s Emotional Expression......Page p0350.djvu
References......Page p0352.djvu
Introduction......Page p0353.djvu
The Simplified Human Vision Model......Page p0354.djvu
Local Visibility Due to Texture Masking......Page p0355.djvu
Local Visibility Due to Luminance Masking......Page p0356.djvu
Integration Strategy......Page p0357.djvu
Performance Evaluation......Page p0358.djvu
References......Page p0360.djvu
Introduction......Page p0361.djvu
Reflectance Estimation......Page p0363.djvu
Scanner Operation......Page p0364.djvu
Practicalities of Measurement......Page p0365.djvu
Observations......Page p0366.djvu
References......Page p0368.djvu
Introduction......Page p0370.djvu
Previous Experiments from Another Perspective......Page p0371.djvu
The Change in Identification Rate with Proportion......Page p0373.djvu
Similarity Score Verses Age Difference of Two People......Page p0374.djvu
Evaluations Using an Even Distribution of Different Ages......Page p0375.djvu
Summary......Page p0376.djvu
References......Page p0377.djvu
Visual Features......Page p0379.djvu
Classification by Support Vector Machine......Page p0381.djvu
Conclusion and Discussion......Page p0382.djvu
References......Page p0383.djvu
Introduction......Page p0385.djvu
Hardware Implemented Truly Random Number Generator......Page p0386.djvu
Wedge and Ring (W&R) Based Fingerprint Features......Page p0388.djvu
The Proposed Fingerprint Authentication Scheme......Page p0390.djvu
Conclusions......Page p0391.djvu
References......Page p0392.djvu
Introduction......Page p0393.djvu
System Overview......Page p0394.djvu
Manifold Calculation from Input Data......Page p0395.djvu
Manifold Re-sampling into a Predefined Number of Keypoints......Page p0397.djvu
Experimental Results......Page p0398.djvu
References......Page p0400.djvu
Introduction......Page p0402.djvu
Background Information and Related Works......Page p0403.djvu
Implementing Hardened Fingerprints......Page p0405.djvu
Experimental Results and Analysis......Page p0406.djvu
Conclusion......Page p0408.djvu
References......Page p0409.djvu
Introduction......Page p0410.djvu
Region Selection......Page p0411.djvu
Experimental Results......Page p0413.djvu
References......Page p0416.djvu
Introduction......Page p0418.djvu
The Surface Gradient Based Model......Page p0419.djvu
The Parameter Fitting Procedure......Page p0420.djvu
Experiments......Page p0421.djvu
References......Page p0425.djvu
Introduction......Page p0427.djvu
Catmull--Rom Splines......Page p0428.djvu
Representation of Facial Features......Page p0430.djvu
Applications......Page p0432.djvu
References......Page p0434.djvu
Quantitative Mouth Shape Analysis......Page p0435.djvu
Vertex Detection......Page p0436.djvu
Active Contours Based Mouth Template......Page p0438.djvu
Upper Lip......Page p0439.djvu
Evaluation of the Contour Fitting......Page p0440.djvu
References......Page p0441.djvu
Introduction......Page p0443.djvu
Pre-segmentation......Page p0444.djvu
Histogram Construction......Page p0445.djvu
Histogram Similarity......Page p0446.djvu
Experiments......Page p0448.djvu
References......Page p0450.djvu
Introduction......Page p0451.djvu
Related Work......Page p0452.djvu
Our Approach......Page p0453.djvu
Spatial Constraints......Page p0454.djvu
Initialization......Page p0455.djvu
Hierarchical Clustering......Page p0456.djvu
Experimental Results......Page p0457.djvu
Conclusions and Future Work......Page p0458.djvu
References......Page p0459.djvu
Locally Estimating the Color of the Illuminant......Page p0460.djvu
Use of Anisotropic Diffusion......Page p0462.djvu
Experimental Results......Page p0465.djvu
References......Page p0467.djvu
Introduction......Page p0469.djvu
Contributions......Page p0470.djvu
Algorithm......Page p0471.djvu
Experiments......Page p0473.djvu
References......Page p0476.djvu
Introduction......Page p0477.djvu
Color Space for Processing and MS Diagram......Page p0478.djvu
Connected Vectorial Filters......Page p0479.djvu
Algorithm for Detecting and Eliminating Specularities......Page p0480.djvu
Experimental Results and Real-Time Aspects......Page p0482.djvu
References......Page p0483.djvu
Introduction......Page p0485.djvu
Polarization in Computer Vision......Page p0486.djvu
Disambiguation Using Photometric Stereo......Page p0487.djvu
Experiments......Page p0490.djvu
References......Page p0492.djvu
Introduction......Page p0493.djvu
Add (or Remove) a Point to (from) the Blurred Segment of Width ......Page p0494.djvu
Definitions and First Property......Page p0495.djvu
Definition......Page p0496.djvu
Algorithm for the Estimation of the Curvature of Width  at Each Point of C......Page p0497.djvu
Conclusion......Page p0499.djvu
References......Page p0500.djvu
Introduction......Page p0501.djvu
State-of-the-Art......Page p0502.djvu
Modeling Assumption......Page p0503.djvu
Motion Compensation......Page p0504.djvu
Numerical Resolution......Page p0505.djvu
Results......Page p0506.djvu
Conclusion......Page p0507.djvu
References......Page p0508.djvu
Introduction......Page p0509.djvu
Superellipsoids......Page p0510.djvu
Fitting Using Normalization......Page p0511.djvu
Normalization in 3D......Page p0512.djvu
Determination of the Remaining Parameters......Page p0514.djvu
Experimental Results......Page p0515.djvu
References......Page p0516.djvu
Introduction......Page p0517.djvu
Summary of the Tomasi-Kanade Factorization......Page p0518.djvu
S-Step......Page p0519.djvu
Tests on Synthesized Data......Page p0520.djvu
Conclusion and Future Work......Page p0523.djvu
References......Page p0524.djvu
Reeb Graphs and Tunnels......Page p0525.djvu
Algebraic-Topological Models for 3D Objects......Page p0527.djvu
Computing a Graph-with-Loop Representation of a 3D Object......Page p0529.djvu
References......Page p0532.djvu
Introduction......Page p0533.djvu
Interest Point and Region Detectors......Page p0534.djvu
Comparison of Detectors......Page p0535.djvu
Displacement Estimation Based on Region Correspondence......Page p0536.djvu
Accuracy of Estimated Displacements......Page p0537.djvu
Classification of Print Elements......Page p0538.djvu
Conclusion......Page p0539.djvu
References......Page p0540.djvu
Introduction......Page p0541.djvu
Step 1; Filtering......Page p0542.djvu
Step 3; Writing-Lines Decomposition......Page p0543.djvu
Step 4; Writing-Lines Grouping......Page p0545.djvu
Step 6; Full Words Concatenation......Page p0546.djvu
References......Page p0548.djvu
Introduction......Page p0550.djvu
Problem Definition......Page p0551.djvu
First Stage -- Evolutionary Algorithm......Page p0553.djvu
Third Stage - Validation......Page p0554.djvu
Experiments......Page p0555.djvu
References......Page p0557.djvu
Introduction......Page p0558.djvu
Textline Extraction......Page p0559.djvu
Gabor Feature Selection......Page p0560.djvu
Recognition Algorithm......Page p0561.djvu
Database......Page p0562.djvu
Performance Evaluation......Page p0563.djvu
Conclusions......Page p0564.djvu
References......Page p0565.djvu
Introduction......Page p0566.djvu
Datasets......Page p0567.djvu
Segmentation......Page p0568.djvu
Classification......Page p0570.djvu
Evaluation......Page p0571.djvu
Conclusion......Page p0572.djvu
References......Page p0573.djvu
Introduction......Page p0574.djvu
Extraction of Textural Features by Gabor Filtering......Page p0575.djvu
Character Components Interval Tracing......Page p0577.djvu
Experimental Results......Page p0579.djvu
Conclusion......Page p0580.djvu
References......Page p0581.djvu
Introduction......Page p0582.djvu
Grey Level Estimation......Page p0583.djvu
Thresholding with Simultaneous Grey Level Estimation......Page p0585.djvu
Results and Discussion......Page p0587.djvu
References......Page p0589.djvu
Motivation......Page p0590.djvu
Level Sets Methods and Speed Functions......Page p0591.djvu
Bridging Gaps in Data......Page p0592.djvu
Experimental Results......Page p0594.djvu
Conclusions......Page p0596.djvu
References......Page p0597.djvu
Introduction......Page p0598.djvu
The Marker-Based Watershed......Page p0599.djvu
Proposed Method......Page p0600.djvu
Results......Page p0602.djvu
Conclusion......Page p0604.djvu
References......Page p0605.djvu
Introduction......Page p0606.djvu
Alpha Complexes and Delaunay Triangulations......Page p0607.djvu
Persistent Homology......Page p0608.djvu
Segmentation Algorithm......Page p0609.djvu
Results......Page p0611.djvu
Related Work......Page p0612.djvu
References......Page p0613.djvu
Introduction......Page p0615.djvu
The Incremental Variational Bayesian Method......Page p0617.djvu
Experimental Results......Page p0621.djvu
References......Page p0622.djvu
Introduction......Page p0623.djvu
Univariate Gaussian Distribution Mixture Model......Page p0624.djvu
Model-Based Segmentation......Page p0625.djvu
Synthetic Images......Page p0627.djvu
Simulated MS Lesion Brain Images......Page p0628.djvu
Conclusions......Page p0629.djvu
References......Page p0630.djvu
Introduction......Page p0631.djvu
Segmentation by Watersheds Revisited......Page p0632.djvu
Edges......Page p0633.djvu
Height Map......Page p0635.djvu
Skeleton......Page p0636.djvu
Results......Page p0637.djvu
References......Page p0638.djvu
Introduction......Page p0639.djvu
Orientability Measures......Page p0640.djvu
Geometric Methods......Page p0641.djvu
Experiments......Page p0644.djvu
References......Page p0646.djvu
Introduction......Page p0647.djvu
The New Thinning Algorithm......Page p0648.djvu
Discussion and Results......Page p0652.djvu
References......Page p0654.djvu
Introduction......Page p0655.djvu
Contributing Drainage Area in Hydrology......Page p0656.djvu
Outlet Definition and Region of Interest......Page p0657.djvu
Generation of Geodesic Mask......Page p0658.djvu
From Geodesic Time Function to Drainage Areas......Page p0660.djvu
Conclusion and Perspectives......Page p0661.djvu
References......Page p0662.djvu
Active Shape Models......Page p0664.djvu
Fractal Interpolation......Page p0665.djvu
Fractal Active Shape Models......Page p0667.djvu
Results......Page p0669.djvu
Conclusions and Further Work......Page p0670.djvu
References......Page p0671.djvu
Introduction......Page p0672.djvu
ECC of Basic Shapes......Page p0673.djvu
Ellipse......Page p0674.djvu
Rectangle......Page p0677.djvu
Elongated Shape......Page p0678.djvu
References......Page p0679.djvu
Introduction......Page p0680.djvu
The Original RBA......Page p0681.djvu
Non-existence of an Exact Arithmetic Algorithm......Page p0682.djvu
Approximate Algorithms......Page p0683.djvu
References......Page p0687.djvu
Introduction......Page p0688.djvu
Contour Detection......Page p0689.djvu
Ellipse Fitting......Page p0690.djvu
Ellipse Fitting with 3 Points......Page p0691.djvu
Robust Candidate Sequence......Page p0692.djvu
Experiments and Comparison......Page p0693.djvu
Conclusion......Page p0694.djvu
References......Page p0695.djvu
Introduction......Page p0696.djvu
The Standard Method......Page p0697.djvu
An Alternative Approach......Page p0698.djvu
Orientation of Compound Objects......Page p0699.djvu
References......Page p0703.djvu
Introduction......Page p0705.djvu
Appearance......Page p0706.djvu
Cost Function Components......Page p0707.djvu
1D Search Algorithm......Page p0708.djvu
Results of Crossection Detection......Page p0709.djvu
1 D Repeatability Study......Page p0710.djvu
Conclusion......Page p0711.djvu
References......Page p0712.djvu
Introduction......Page p0713.djvu
Shape Modelling and Search Space......Page p0714.djvu
Fixing Points to Drive the Search: Method......Page p0716.djvu
Experiments and Results......Page p0718.djvu
Conclusions and Future Work......Page p0719.djvu
References......Page p0720.djvu
Introduction......Page p0721.djvu
The HOAC `Gas of Circles\' Model......Page p0722.djvu
Phase Fields and the `Gas of Circles\' Model......Page p0723.djvu
The Phase Field Inflection Point `Gas of Circles\' Model......Page p0724.djvu
Tree Crown Extraction......Page p0725.djvu
Experimental Results......Page p0726.djvu
References......Page p0728.djvu
Introduction......Page p0729.djvu
Prior Work on Shape Recognition......Page p0730.djvu
Shape Representation Using a Set of Signatures ......Page p0731.djvu
Shape Similarity Evaluation......Page p0732.djvu
Experimental Results......Page p0734.djvu
Conclusions......Page p0735.djvu
References......Page p0736.djvu
Introduction......Page p0737.djvu
Method......Page p0738.djvu
Discussion and Conclusions......Page p0742.djvu
References......Page p0744.djvu
Basics......Page p0745.djvu
The Algorithm......Page p0748.djvu
Time Complexity of the Algorithm......Page p0750.djvu
References......Page p0752.djvu
Introduction......Page p0753.djvu
Definition of the Velocity Function on Skeleton......Page p0754.djvu
Extracting Tree-Like Structure from the Skeleton......Page p0755.djvu
Matching the Velocity Vectors and Computing Fine-Grain Level Distances......Page p0756.djvu
Matching Descriptor Structures in the Coarse-Grain Level......Page p0757.djvu
Experimental Results......Page p0758.djvu
Conclusion and Future Work......Page p0759.djvu
References......Page p0760.djvu
Introduction......Page p0761.djvu
Formulation of the Contour Interpolation Problem......Page p0762.djvu
Univariate Approaches......Page p0763.djvu
Geodesic Time Function......Page p0764.djvu
Linear Interpolation Using Geodesic Time......Page p0765.djvu
Results and Discussion......Page p0766.djvu
References......Page p0768.djvu
Introduction......Page p0770.djvu
Notation and Definitions......Page p0771.djvu
Finding Rotation with Known Axis......Page p0772.djvu
Improving the Performance......Page p0773.djvu
Rigid Body Registration......Page p0774.djvu
Experimental Results......Page p0775.djvu
Conclusion......Page p0776.djvu
References......Page p0777.djvu
Introduction and Related Work......Page p0778.djvu
2D/3D Image Registration......Page p0780.djvu
In-Plane and Out-of-Plane Registration......Page p0781.djvu
Results and Discussion......Page p0782.djvu
References......Page p0785.djvu
Introduction......Page p0787.djvu
B-Spline Representation of the Deformation......Page p0788.djvu
Pseudo-inversion Algorithm......Page p0789.djvu
Results......Page p0791.djvu
Conclusion......Page p0793.djvu
References......Page p0794.djvu
Introduction......Page p0795.djvu
Robust Image Reconstruction......Page p0796.djvu
Robust Symmetric Least-Square Matching......Page p0798.djvu
Experimental Results and Conclusions......Page p0800.djvu
References......Page p0802.djvu
Introduction......Page p0803.djvu
Problem Description......Page p0804.djvu
The Transiently Chaotic Neural Network......Page p0805.djvu
String Matching Using Hopfield Neural Network......Page p0806.djvu
Experimental Results......Page p0807.djvu
References......Page p0810.djvu
Introduction......Page p0811.djvu
Derivation of a Variational Approximation to the MI......Page p0812.djvu
Effective Realization of the Variational Approximation......Page p0813.djvu
Experimental Results......Page p0816.djvu
References......Page p0818.djvu
Introduction......Page p0820.djvu
Fast Block-Matching ME Methods......Page p0821.djvu
Cross-Half-Diamond Low Resolution Search: An Improvement of CDHS......Page p0822.djvu
Efficient-Hexagonal-Inner Search......Page p0823.djvu
Experimental Results......Page p0824.djvu
References......Page p0826.djvu
Introduction......Page p0828.djvu
Spectral Eigenfeature Extraction Using Two-Step PCA......Page p0829.djvu
Training of PCA Matrices......Page p0830.djvu
Dataset......Page p0831.djvu
Spectral Features......Page p0832.djvu
Matching Experiments......Page p0833.djvu
Discussion......Page p0834.djvu
References......Page p0835.djvu
Introduction......Page p0836.djvu
Related Work......Page p0837.djvu
HDR Image Registration......Page p0838.djvu
Experiments......Page p0839.djvu
Conclusion......Page p0840.djvu
References......Page p0841.djvu
Introduction......Page p0842.djvu
Graphs......Page p0843.djvu
Auxiliary Matching Structure......Page p0844.djvu
Modelling the Interference Amplitudes......Page p0845.djvu
Experiments......Page p0847.djvu
References......Page p0849.djvu
Introduction......Page p0851.djvu
Motion Segmentation......Page p0852.djvu
Feature Extraction......Page p0854.djvu
Methodology......Page p0855.djvu
Results and Discussion......Page p0856.djvu
Conclusion......Page p0857.djvu
References......Page p0858.djvu
Introduction......Page p0859.djvu
PCA and Probabilistic PCA......Page p0860.djvu
Regularized Discriminant Analysis......Page p0861.djvu
Variable Weighting and Relevance Criteria......Page p0862.djvu
Toy Data......Page p0863.djvu
Nailfold Capillaroscopic (NC) Images......Page p0864.djvu
NIST-38 Digit Recognition......Page p0865.djvu
References......Page p0866.djvu
Introduction......Page p0867.djvu
Intra-layer Prediction......Page p0868.djvu
Inter-layer Prediction......Page p0870.djvu
Prediction Mode Decision......Page p0871.djvu
Results and Discussion......Page p0872.djvu
Conclusion......Page p0873.djvu
References......Page p0874.djvu
Introduction......Page p0875.djvu
General Moments......Page p0876.djvu
Implicit Moment Invariants......Page p0877.djvu
Implementation of the Implicit Invariants......Page p0878.djvu
Numerical Experiments......Page p0879.djvu
References......Page p0882.djvu
Introduction......Page p0883.djvu
Continuous Wavelet Transform......Page p0884.djvu
Gridding Procedure......Page p0885.djvu
Results and Discussion......Page p0887.djvu
Conclusion......Page p0888.djvu
References......Page p0889.djvu
Introduction......Page p0890.djvu
Material and Methods......Page p0891.djvu
Result......Page p0893.djvu
Discussion......Page p0895.djvu
References......Page p0896.djvu
Introduction......Page p0897.djvu
An Overview of CT and Terahertz CT......Page p0898.djvu
Two Dimensional Wavelet Based CT Reconstruction......Page p0899.djvu
Implementation Issues......Page p0900.djvu
Local Reconstruction of Off-Centered Region......Page p0902.djvu
References......Page p0903.djvu
Introduction......Page p0905.djvu
Related Work and Context......Page p0907.djvu
Multiresolution Analysis and Diffusion Wavelets......Page p0908.djvu
Nonlinear Approximation on Graphs Using Diffusion Wavelets......Page p0909.djvu
Example......Page p0910.djvu
Conclusion and Further Work......Page p0911.djvu
References......Page p0912.djvu
Introduction......Page p0914.djvu
Analyzing the Joint Histograms of Wavelet Coefficients......Page p0916.djvu
The Proposed Model for Wavelet-Coefficients Distributions......Page p0918.djvu
Experimental Results......Page p0919.djvu
Conclusions......Page p0920.djvu
References......Page p0921.djvu
Introduction......Page p0922.djvu
Fast Forward and Inverse Algorithms of Sliding DCT......Page p0923.djvu
Signal Restoration in the Domain of Sliding DCT......Page p0924.djvu
Computer Simulation Results......Page p0927.djvu
References......Page p0929.djvu
Introduction......Page p0931.djvu
Experimental Evaluation......Page p0932.djvu
Experiment 2: Automatic Selection of Methods......Page p0933.djvu
Discussion......Page p0935.djvu
Conclusions......Page p0937.djvu
References......Page p0938.djvu
Introduction......Page p0940.djvu
The Classification Task......Page p0941.djvu
Single Classifier Design and Evaluation......Page p0942.djvu
Classifier Combination......Page p0944.djvu
System Performance......Page p0946.djvu
References......Page p0947.djvu
Introduction......Page p0948.djvu
The Stability Problem......Page p0949.djvu
Stability of Feature Sets......Page p0950.djvu
Experiment Design and Description......Page p0951.djvu
Experiment Set-Up......Page p0952.djvu
Numerical Results and Discussion......Page p0953.djvu
Conclusions......Page p0954.djvu
References......Page p0955.djvu
Introduction......Page p0956.djvu
Shot Boundary Detection......Page p0957.djvu
Visual Feature Extraction......Page p0958.djvu
Classification Method......Page p0960.djvu
Experimental Results......Page p0961.djvu
References......Page p0963.djvu
Introduction......Page p0964.djvu
Edge Directions and Edge Orientation Autocorrelogram......Page p0966.djvu
Calculation of Similarity Scores......Page p0967.djvu
Support Vector Machine Learning and Classification......Page p0968.djvu
Experiments and Results......Page p0969.djvu
References......Page p0971.djvu
Introduction......Page p0973.djvu
SVMActive - The Informative Measure......Page p0974.djvu
The Representative Measure......Page p0975.djvu
Exploiting Unlabeled Images......Page p0977.djvu
Experiments......Page p0978.djvu
References......Page p0980.djvu
Introduction......Page p0981.djvu
Related Work......Page p0982.djvu
Training Algorithm......Page p0983.djvu
Selection of Training Subset......Page p0984.djvu
Experiments and Discussions......Page p0985.djvu
References......Page p0988.djvu
Introduction......Page p0989.djvu
Adaptive Distance Measure Using Weighted Training Instances......Page p0990.djvu
Noise Filters......Page p0991.djvu
Condensation Methods......Page p0992.djvu
Instance-Weight Learning......Page p0993.djvu
Experimental Results......Page p0994.djvu
Conclusions......Page p0996.djvu
References......Page p0997.djvu
Potential Estimates for a Generic Markov-Gibbs Model......Page p0998.djvu
Experimental Results and Conclusions......Page p1001.djvu
References......Page p1005.djvu
Introduction......Page p1006.djvu
Texture Representation......Page p1007.djvu
Defect Detection......Page p1008.djvu
Experimental Results......Page p1009.djvu
References......Page p1013.djvu
Motivation and Background......Page p1014.djvu
Modified kd-Trees for Shape Representation ......Page p1015.djvu
HMM-Based Shape Recognition Recognition ......Page p1018.djvu
References......Page p1020.djvu
Author Index......Page p1022.djvu